998 resultados para Judson, Ann Hasseltine, 1789-1826.


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This paper presents a Genetic Algorithm (GA) based fast speed response controller for poly-phase induction motor drive. Here the proportional and integral gains of PI controller are optimized by GA to achieve quick speed response. An adaptive Recurrent Neural Network (RNN) with Real Time Recurrent Learning (RTRL) algorithm is proposed to estimate rotor flux. An online tuning scheme to update the weight of RNN is presented to overcome stator resistance variation problem. This tuning scheme requires torque estimator to calculate the torque error. Space vector modulation (SVM) technique is used to produce the motor input voltage. Simulation tests have been performed to study the dynamic performances of the drive system for both the classical PI and the genetic algorithm based PI controllers.

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Dynamic surface roughness prediction during metal cutting operations plays an important role to enhance the productivity in manufacturing industries. Various machining parameters such as unwanted noises affect the surface roughness, whatever their effects have not been adequately quantified. In this study, a general dynamic surface roughness monitoring system in milling operations was developed. Based on the experimentally acquired data, the milling process of Al 7075 and St 52 parts was simulated. Cutting parameters (i.e., cutting speed, feed rate, and depth of cut), material type, coolant fluid, X and Z components of milling machine vibrations, and white noise were used as inputs. The original objective in the development of a dynamic monitoring system is to simulate wide ranges of machining conditions such as rough and finishing of several materials with and without cutting fluid. To achieve high accuracy of the resultant data, the full factorial design of experiment was used. To verify the accuracy of the proposed model, testing and recall/verification procedures have been carried out and results showed that the accuracy of 99.8 and 99.7 % were obtained for testing and recall processes.

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No Zoológico Nacional do Parque Metropolitano de Santiago, Chile, foram encontrados dois psitacídeos Enicognathus leptorhynchus, mortos pelo nematódeo Ascaridia hermaphrodita (Froelich, 1789). Este é o primeiro registro desse nematódeo em E. leptorhynchus e também o primeiro registro deste parasito no Chile.

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Fishes of the family Scorpaenidae are responsible for severe injuries and occasionally deaths in humans around the world. The more venomous fishes on the Brazilian coast and in the Southwestern Atlantic region are classified in the genus Scorpaena (family Scorpaenidae). However, there are few studies on the venomous apparatus, the effects of the venom, or clinical aspects of human envenoming provoked by Atlantic scorpionfishes.In this communication, the authors present 23 accidents caused by scorpionfishes of the genus Scorpaena among fishermen, and report the species that provoked the injuries, the circumstances of contacts, the clinical aspects observed and the therapeutic measures utilized for control of the symptoms of the victims. The intense pain and the systemic findings observed in the patients were very frequent and we think that the injuries provoked by scorpionfishes should be considered the most important manifestations caused by venomous fishes of the East Atlantic Ocean. (C) 2003 Elsevier B.V. Ltd. All rights reserved.

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Cytogenetic studies were carried out on five species of Leptodactylus, namely L. fuscus, L, notoaktites, L. labyrinthicus, L. ocellatus, and L. podicipinus, after standard staining, Ag-NOR and C-banding as well as BrdU incorporation for three of them. The species had 2n = 22 chromosomes and two basic karyotype patterns. Chromosome 8 was a marker bearing a secondary constriction. In all species, this secondary constriction corresponded to the Ag-NOR site. The species had centromeric C-bands in all chromosomes of the complement, but some interstitial or telomeric bands seemed to differentiate some karyotypes, either at the species or the population level. In L. ocellatus, the C-banding pattern confirmed the occurrence of a heteromorphic pericentric inversion in chromosome 8 in specimens from one of the populations. The BrdU incorporation technique showed no detectable difference in the replication patterns of the major bands in the chromosomes of L. noroaktites, L. labyrinthicus, and L. ocellatus.

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This work proposes a methodology for non destructive testing (NDT) of reinforced concrete structures, using superficial magnetic fields and artificial neural networks, in order to identify the size and position of steel bars, embedded into the concrete. For the purposes of this paper, magnetic induction curves were obtained by using a finite element program. Perceptron Multilayered (PML) ANNs, with Levemberg-Marquardt training algorithm were used. The results presented very good agreement with the expect ones, encouraging the development of real systems based upon the proposed methodology.

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The main application area in this project, is to deploy image processing and segmentation techniques in computer vision through an omnidirectional vision system to agricultural mobile robots (AMR) used for trajectory navigation problems, as well as localization matters. Thereby, computational methods based on the JSEG algorithm were used to provide the classification and the characterization of such problems, together with Artificial Neural Networks (ANN) for image recognition. Hence, it was possible to run simulations and carry out analyses of the performance of JSEG image segmentation technique through Matlab/Octave computational platforms, along with the application of customized Back-propagation Multilayer Perceptron (MLP) algorithm and statistical methods as structured heuristics methods in a Simulink environment. Having the aforementioned procedures been done, it was practicable to classify and also characterize the HSV space color segments, not to mention allow the recognition of segmented images in which reasonably accurate results were obtained. © 2010 IEEE.

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O presente trabalho tem como objetivo analisar a variação da forma do corpo ao longo da ontogenia em Mabuya agilis Boulenger, 1887; M. bistriata (Spix, 1825); M. guaporicola Dunn, 1936; M. macrorkyncha Hoge, 1946 e M. nigropunctata (Spix, 1825), espécies sul-americana de lagartos, buscando definir as diferenças interespecíficas em termos de suas proporções corporais, qual o papel de um possível crescimento alométrico no desenvolvimento da forma adulta de cada espécie, e se as diferenças observadas poderiam estar associadas às diferenças nos hábitats ocupados por cada espécie. Para isso foi utilizado a análise de componentes principais (PCA), para estimar tanto as trajetórias ontogenéticas como o crescimento alométrico de cada espécie. Dados sobre os hábitats ocupados por cada espécie foram compilados da literatura. A inclinação da reta indicando a trajetória ontogenética foi significativamente diferente entre Mabuya guaporicola e todas as demais espécies, e entre M. bistriata e M. nigropunctata. A análise dos coeficientes alométricos permitiram constatar que: a redução relativa dos membros, associado com um alongamento do corpo em Mabuya guaporicola, foi alcançada através da redução das mãos, pés e, especialmente, dos dígitos; em M. agi/is houve um alongamento do corpo; M. macrorhyncha apresentou a região da cintura escapular robusta, especialmente alta, e as mãos com uma redução acentuada; em M. bistriata os braços são relativamente curtos e coxa e tíbia alongados; e M. nigmpunctata, comparado com as demais espécies estudadas, foi a espécie cuja forma do corpo menos se alterou ao longo do crescimento. Através desses resultados, juntamente com os dados obtidos da literatura sobre o hábitat ocupado por cada espécie estudada, foi concluído que algumas especializações morfológicas encontradas poderiam ser explicadas como adaptações funcionais ao uso de seus hábitats.

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Pós-graduação em Biologia Animal - IBILCE

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)